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Title:
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A CASE-BASED REASONING SYSTEM TO FORECAST THE PRESENCE OF OIL SLICKS |
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Author(s):
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J.m. Corchado , Aitor Mata , Francisco De Paz , David Del Pozo |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Case-Based Reasoning, oil spill, Growing Cell Structures, Radial Basis Function, PCA |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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10 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented
here forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill using Case-Based
Reasoning methodology. CBR is a computational methodology designed to generate solutions to a certain problem by
analysing previous solutions given to previous solved problems. The proposed system wraps other artificial intelligence
techniques such as a Radial Basis Function Networks, Growing Cell Structures and Principal Components Analysis in
order to develop the different phases of the CBR cycle. CBR systems have never been used before to solve oil slicks
problems. The proposed system uses information obtained from various satellites such as salinity, temperature, pressure,
number and area of the slicksÂ…. OSCBR system has been able to accurately predict the presence of oil slicks in the north
west of the Galician coast, using historical data. |
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